Martin Bucella's repositories

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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albumentations-feedstock

A conda-smithy repository for albumentations.

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TBHWP

Live wallpaper for Android (early prototype)

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lsd

🌈

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gunpowder

A library to facilitate machine learning on multi-dimensional images.

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daisy

Block-wise task scheduling for large nD volumes.

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waterz

Simple watershed and agglomeration library for affinity graphs.

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omegaconf

Flexible Python configuration system. The last one you will ever need.

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hydra

Hydra is a framework for elegantly configuring complex applications

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pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

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hydra-core-feedstock

A conda-smithy repository for hydra-core.

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omegaconf-feedstock

A conda-smithy repository for omegaconf.

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fish-feedstock

A conda-smithy repository for fish.

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tensorboard-feedstock

A conda-smithy repository for tensorboard.

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rbdl-toolkit

Application for visualizing and working with rbdl models

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deface

This repository has moved to https://github.com/ORB-HD/deface

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moviepy-feedstock

A conda-smithy repository for moviepy.

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SyConn

Software for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

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3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

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AlphaPose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

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imgaug-feedstock

A conda-smithy repository for imgaug.

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BMSG-GAN

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning.

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contrib

Implementations of ideas from recent papers

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openmesh-feedstock

A conda-smithy repository for openmesh.

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dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

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tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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newsgeneratorbot

A Telegram bot that generates custom news articles on demand, based on a GRU Neural Network

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